Computes the Gauss error function of x element-wise. In statistics, for non-negative values of \(x\), the error function has the following interpretation: for a random variable \(Y\) that is normally distributed with mean 0 and variance \(1/\sqrt{2}\), \(erf(x)\) is the probability that \(Y\) falls in the range \([−x, x]\).
tf.raw_ops.Erf(
x, name=None
)
For example:
tf.math.erf([[1.0, 2.0, 3.0], [0.0, -1.0, -2.0]])
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=
array([[ 0.8427007, 0.9953223, 0.999978 ],
[ 0. , -0.8427007, -0.9953223]], dtype=float32)>
Args |
|---|
x
|
A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as x.
|
